Research

Advancing Knowledge.
Building Intelligent Systems.

At Deepsim, research drives everything we do. We explore innovative methods in AI, data science, and intelligent systems to solve real-world challenges and push the boundaries of what’s possible.

RESEARCH AREAS

Focus. Explore. Innovation

We explore fundamental challenges and develop practical solutions across mutiplt domains.

Machine Learning

Developing novel algorithms for prediction, classification, and intelligent decision-making.

Computer Vision

Advancing methods for image understanding, object detection, and visual recognition in complex environments.

Data Science

Extracting knowledge from complex data through statistical analysis, visualization, and advanced analytics.

IoT & Edge Intelligence

Designing intelligent systems for sensing, connectivity, real-time monitoring, and edge analytics.

Signal & Time Series

Research in wavelet analysis, time-frequency methods, forecasting, and advanced signal processing techniques.

FEATURED PROJECTS

RECENT PROJECT HIGHLIGHTS

Desktop AI Companion and Assistant Robot

Built a complete AI companion robot and its system using modern Python, AI, automation, voice, memory, and multimodal interaction.

usv

Unmanned Surface Vehicle (USV) for Water Quality Monitoring

Develop an autonomous or remotely operated watercraft designed to navigate on the surface of water without onboard crew.

Water Environment Monitoring System

 Develop a Real-time Monitoring and Early Warning System of Water Quality using machine learning, wavelet transformation, IoTs.

Health Estimation System of Water Environment

Develop a real-time system to estimate the health situation of rivers and lakes based on the case study of Menlou Reservoir in Yantai, China

FEATURED RESEARCH & PUBLICATIONS

RECENT RESEARCH HIGHLIGHTS

AI, Data Science, Wavelet Signal Procession

TVITA Plant Disease Identification Research

The research “TVITA: A Lightweight Transfer Learning-Based Vision Transformer for Accurate Plant Disease Identification” presents a novel artificial intelligence approach for automated plant disease...

Seq2Seq Human Action Recognition Research

The research paper “Seq2seq Model for Human Action Recognition Based on Skeleton and Two-Layer Bidirectional LSTM” investigates an efficient deep learning framework for recognizing human actions from...

Water Quality Prediction Research

This research paper “Wavelet Decomposition and Seq2Seq Hybrid Models for Water Quality Prediction” explores an advanced deep learning framework for accurate water quality forecasting by combining...

Human Behavior Recognition Survey Research

This research “A Systematic Survey on Human Behavior Recognition Methods” provides a comprehensive review of modern techniques, datasets, algorithms, and challenges in the field of Human Behavior...
RESEARCH IMPACT

Creating Impact
through Research

BOOKS
RESEARCH PAPERS
ARTICLES & GUIDES
+
PLATFORMS & UTILITIES
RESEARCH PROJECTS
+

Research. Collaborate. Advance Together

We collaborate with academic institutions, industry partners, reseach communities, and innovators to solve real-word challenges, drive innovation  and create intelligent solutions.